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Generalized but not Robust? Comparing the Effects of Data Modification
  Methods on Out-of-Domain Generalization and Adversarial Robustness

Generalized but not Robust? Comparing the Effects of Data Modification Methods on Out-of-Domain Generalization and Adversarial Robustness

15 March 2022
Tejas Gokhale
Swaroop Mishra
Man Luo
Bhavdeep Singh Sachdeva
Chitta Baral
ArXivPDFHTML

Papers citing "Generalized but not Robust? Comparing the Effects of Data Modification Methods on Out-of-Domain Generalization and Adversarial Robustness"

12 / 12 papers shown
Title
Evaluating Human-AI Collaboration: A Review and Methodological Framework
Evaluating Human-AI Collaboration: A Review and Methodological Framework
George Fragiadakis
Christos Diou
George Kousiouris
Mara Nikolaidou
59
12
0
09 Jul 2024
Out-of-Distribution Generalization in Text Classification: Past,
  Present, and Future
Out-of-Distribution Generalization in Text Classification: Past, Present, and Future
Linyi Yang
Yangqiu Song
Xuan Ren
Chenyang Lyu
Yidong Wang
Lingqiao Liu
Jindong Wang
Jennifer Foster
Yue Zhang
OOD
37
2
0
23 May 2023
BioTABQA: Instruction Learning for Biomedical Table Question Answering
BioTABQA: Instruction Learning for Biomedical Table Question Answering
Man Luo
S. Saxena
Swaroop Mishra
Mihir Parmar
Chitta Baral
LMTD
157
15
0
06 Jul 2022
Neural Retriever and Go Beyond: A Thesis Proposal
Neural Retriever and Go Beyond: A Thesis Proposal
Man Luo
30
1
0
31 May 2022
Choose Your QA Model Wisely: A Systematic Study of Generative and
  Extractive Readers for Question Answering
Choose Your QA Model Wisely: A Systematic Study of Generative and Extractive Readers for Question Answering
Man Luo
Kazuma Hashimoto
Semih Yavuz
Zhiwei Liu
Chitta Baral
Yingbo Zhou
21
21
0
14 Mar 2022
Generalization in NLI: Ways (Not) To Go Beyond Simple Heuristics
Generalization in NLI: Ways (Not) To Go Beyond Simple Heuristics
Prajjwal Bhargava
Aleksandr Drozd
Anna Rogers
98
101
0
04 Oct 2021
Robust and Generalizable Visual Representation Learning via Random
  Convolutions
Robust and Generalizable Visual Representation Learning via Random Convolutions
Zhenlin Xu
Deyi Liu
Junlin Yang
Colin Raffel
Marc Niethammer
OOD
AAML
49
189
0
25 Jul 2020
It's Morphin' Time! Combating Linguistic Discrimination with
  Inflectional Perturbations
It's Morphin' Time! Combating Linguistic Discrimination with Inflectional Perturbations
Samson Tan
Shafiq R. Joty
Min-Yen Kan
R. Socher
163
103
0
09 May 2020
Certified Robustness to Adversarial Word Substitutions
Certified Robustness to Adversarial Word Substitutions
Robin Jia
Aditi Raghunathan
Kerem Göksel
Percy Liang
AAML
183
291
0
03 Sep 2019
Generating Natural Language Adversarial Examples
Generating Natural Language Adversarial Examples
M. Alzantot
Yash Sharma
Ahmed Elgohary
Bo-Jhang Ho
Mani B. Srivastava
Kai-Wei Chang
AAML
245
914
0
21 Apr 2018
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language
  Understanding
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
Alex Jinpeng Wang
Amanpreet Singh
Julian Michael
Felix Hill
Omer Levy
Samuel R. Bowman
ELM
297
6,959
0
20 Apr 2018
Adversarial Example Generation with Syntactically Controlled Paraphrase
  Networks
Adversarial Example Generation with Syntactically Controlled Paraphrase Networks
Mohit Iyyer
John Wieting
Kevin Gimpel
Luke Zettlemoyer
AAML
GAN
196
711
0
17 Apr 2018
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